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Julia programs can reuse libraries from other languages by calling them, e.g. calling [[C (programming language)|C]] or [[Rust (programming)|Rust]] libraries, and Julia (libraries) can also be called from other languages, e.g. [[Python (programming language)|Python]] and [[R (programming language)|R]], and several Julia packages have been made easily available from those languages, in the form of Python and R [[library (computing)|libraries]] for corresponding Julia packages. Calling in either direction has been implemented for many languages, not just those and [[C++]].
Julia's [[Visual Studio Code]] extension provides a fully-featured [[integrated development environment]] with "built-in dynamic autocompletion, inline results, plot pane, integrated REPL, variable view, code navigation, and many other advanced language features"<ref>{{Cite webnews |title=Julia in Visual Studio Code |url=https://code.visualstudio.com/docs/languages/julia}}</ref> e.g. debugging is possible, [[lint (software)|linting]], and [[profiling (computer programming)|profiling]].<ref>{{Cite web|last=Holy|first=Tim|title=GitHub - timholy/ProfileView.jl: Visualization of Julia profiling data.|website=[[GitHub]]|date=2019-09-13|url=https://github.com/timholy/ProfileView.jl|access-date=2019-09-22|archive-date=31 January 2020|archive-url=https://web.archive.org/web/20200131231452/https://github.com/timholy/ProfileView.jl|url-status=live}}</ref><ref>{{Cite web|last=Gregg|first=Brendan|title=GitHub - brendangregg/FlameGraph: Stack trace visualizer.|website=[[GitHub]]|date=2019-09-20|url=https://github.com/brendangregg/FlameGraph|access-date=2019-09-22|archive-date=26 September 2019|archive-url=https://web.archive.org/web/20190926230048/https://github.com/brendangregg/FlameGraph|url-status=live}}</ref><ref>{{Cite web|url=https://julialang.org/blog/2019/03/debuggers|title=A Julia interpreter and debugger|website=julialang.org|access-date=2019-04-10}}</ref><ref>{{Cite web|url=https://timholy.github.io/Rebugger.jl/dev/|title=Home · Rebugger.jl|website=timholy.github.io|access-date=2019-04-10|archive-date=31 March 2019|archive-url=https://web.archive.org/web/20190331171846/https://timholy.github.io/Rebugger.jl/dev/|url-status=live}}</ref>
==History==
JuliaHub, Inc. was founded in 2015 as Julia Computing, Inc. by [[Viral B. Shah]], Deepak Vinchhi, [[Alan Edelman]], [[Jeff Bezanson]], [[Stefan Karpinski]] and [[Keno Fischer]].<ref>{{Cite web|url=https://juliacomputing.com/about-us|title=About Us – Julia Computing|website=juliacomputing.com|access-date=2017-09-12|archive-date=1 September 2019|archive-url=https://web.archive.org/web/20190901171449/https://juliacomputing.com/about-us|url-status=live}}</ref><ref>{{Cite web |title=About Us - JuliaHub |url=https://juliahub.com/company/about-us/ |access-date=2022-11-16 |website=juliahub.com |archive-date=16 November 2022 |archive-url=https://web.archive.org/web/20221116112437/https://juliahub.com/company/about-us/ |url-status=live }}</ref>
In June 2017, Julia Computing raised US$4.6{{nbsp}}million in seed funding from [[General Catalyst]] and Founder Collective,<ref>{{Cite press release|url=https://juliacomputing.com/communication/2017/06/19/seed-funding.html|title=Julia Computing Raises $4.6M in Seed Funding|archive-url=https://web.archive.org/web/20190510040656/https://juliacomputing.com/communication/2017/06/19/seed-funding.html|archive-date=2019-05-10}}</ref> the same month was "granted $910,000 by the [[Alfred P. Sloan Foundation]] to support [[open-source software|open-source]] Julia development, including $160,000 to promote diversity in the Julia community",<ref>{{Cite webnews|date=2017-06-26|title=Julia Computing Awarded $910,000 Grant by Alfred P. Sloan Foundation, Including $160,000 for STEM Diversity|url=https://juliacomputing.com/media/2017/06/26/sloan-grant.html|access-date=2020-07-28|website=juliacomputing.com|archive-date=3 August 2020|archive-url=https://web.archive.org/web/20200803093745/https://juliacomputing.com/media/2017/06/26/sloan-grant.html}}</ref> and in December 2019 the company got $1.1{{nbsp}}million funding from the US government to "develop a neural component [[machine learning]] tool to reduce the total energy consumption of heating, ventilation, and air conditioning (HVAC) systems in buildings".<ref>{{Cite web|title=DIFFERENTIATE—Design Intelligence Fostering Formidable Energy Reduction (and) Enabling Novel Totally Impactful Advanced Technology Enhancements|url=https://arpa-e.energy.gov/sites/default/files/documents/files/DIFFERENTIATE_Project_Descriptions_FINAL.pdf}}</ref> In July 2021, Julia Computing announced they raised a $24 million [[Series A round]] led by Dorilton Ventures,<ref>{{Cite news|title=Julia Computing raises $24 mln in funding round led by Dorilton Ventures|newspaper=Reuters|date=19 July 2021|url=https://www.reuters.com/technology/julia-computing-raises-24-mln-funding-round-led-by-dorilton-ventures-2021-07-19/|access-date=18 August 2021|archive-date=18 August 2021|archive-url=https://web.archive.org/web/20210818161926/https://www.reuters.com/technology/julia-computing-raises-24-mln-funding-round-led-by-dorilton-ventures-2021-07-19/|url-status=live}}</ref> which also owns {{nowrap|[[Formula 1]]}} team [[Williams Grand Prix Engineering|Williams Racing]], that partnered with Julia Computing. Williams' Commercial Director said: "Investing in companies building best-in-class cloud technology is a strategic focus for Dorilton and Julia's versatile platform, with revolutionary capabilities in simulation and modelling, is hugely relevant to our business. We look forward to embedding Julia Computing in the world's most technologically advanced sport".<ref>{{Cite press release|title=Williams welcomes Julia Computing as Dorilton Ventures partner|url=https://www.williamsf1.com/news/2021/partners/williams-welcomes-julia-computing|access-date=2021-09-02|website=www.williamsf1.com|language=en|archive-date=2 September 2021|archive-url=https://web.archive.org/web/20210902092335/https://www.williamsf1.com/news/2021/partners/williams-welcomes-julia-computing|url-status=live}}</ref> In June 2023, JuliaHub received (again, now under its new name) a $13 million strategic new investment led by AE Industrial Partners HorizonX ("AEI HorizonX"). AEI HorizonX is a venture capital investment platform formed in partnership with [[Boeing|The Boeing Company]], which uses Julia.<ref>{{Cite press release |title=JuliaHub Receives $13 Million Strategic Investment from AE Industrial Partners HorizonX |url=https://info.juliahub.com/juliahub-receives-13-million-strategic-investment-from-ae-industrial-partners-horizonx |date=June 27, 2023 |access-date=2023-06-30 |website=info.juliahub.com |language=en}}</ref> Tim Holy's work (at [[Washington University in St. Louis]]'s Holy Lab) on Julia 1.9 (improving responsiveness) was funded by the [[Chan Zuckerberg Initiative]].<!-- Acknowledgments: The work by Tim Holy was funded by the Chan Zuckerberg Initiative. JuliaHub thanks NASA for their support through NASA ROSES 20-OSTFL20-0018. Valentin Churavy gratefully acknowledges funding from NSF (grants OAC-1835443, OAC-2103804, AGS-1835860, and AGS-1835881). This research was made possible by the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program, by the Paul G. Allen Family Foundation, Charles Trimble, Audi Environmental Foundation. This material is based upon work supported by the Department of Energy, National Nuclear Security Administration under Award Number DE-NA0003965. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. -->
==Language features==
===Interoperability===
Julia has built-in support for calling [[C (programming language)|C]] or [[Fortran]] language libraries using the <syntaxhighlight lang="julia" inline="">@ccall</syntaxhighlight> macro. Additional libraries allow users to call to or from other languages such as [[Python (programming language)|Python]],<ref>{{Cite web |title=PythonCall & JuliaCall |date=2023-10-29 |url=https://github.com/JuliaPy/PythonCall.jl |access-date=2023-10-30 |publisher=JuliaPy |archive-date=31 October 2023 |archive-url=https://web.archive.org/web/20231031010517/https://github.com/JuliaPy/PythonCall.jl |url-status=live }}</ref> [[C++]],<ref>{{Cite web |last=Cords |first=Clem |title=Clemapfel/jluna |website=[[GitHub]] |date=2024-11-12 |url=https://github.com/Clemapfel/jluna |access-date=2024-11-26}}</ref><ref>{{Cite web |title=CxxWrap |date=2023-10-28 |url=https://github.com/JuliaInterop/CxxWrap.jl |access-date=2023-10-30 |publisher=JuliaInterop}}</ref> [[Rust (programming language)|Rust]], [[R (programming language)|R]],<ref>{{Cite web |title=RCall.jl |date=2023-10-16 |url=https://github.com/JuliaInterop/RCall.jl |access-date=2023-10-30 |publisher=JuliaInterop |archive-date=30 April 2019 |archive-url=https://web.archive.org/web/20190430053549/https://github.com/JuliaInterop/RCall.jl |url-status=live }}</ref> [[Java (programming language)|Java]]<ref>{{Cite webnews |date=2020-06-02 |title=Julia and Spark, Better Together |url=https://juliacomputing.com/blog/2020/06/02/julia-spark.html |archive-url=https://web.archive.org/web/20200714205019/https://juliacomputing.com/blog/2020/06/02/julia-spark.html |archive-date=14 July 2020 |website=juliacomputing.com}}</ref> and to use with [[SQL]].<ref>{{Cite web |last=Foster |first=Claire |title=SQLREPL.jl |website=[[GitHub]] |date=2023-10-23 |url=https://github.com/c42f/SQLREPL.jl |access-date=2023-10-31 |archive-date=27 September 2022 |archive-url=https://web.archive.org/web/20220927085821/https://github.com/c42f/SQLREPL.jl |url-status=live }}</ref><ref>{{Cite web |last=Noh |first=WooKyoung |title=Octo.jl |website=[[GitHub]] |date=2023-10-18 |url=https://github.com/wookay/Octo.jl |access-date=2023-10-31}}</ref><ref>{{Cite web |title=Usage Guide · FunSQL.jl |url=https://mechanicalrabbit.github.io/FunSQL.jl/stable/guide/#Why-FunSQL? |access-date=2023-10-31 |website=mechanicalrabbit.github.io |archive-date=31 October 2023 |archive-url=https://web.archive.org/web/20231031175900/https://mechanicalrabbit.github.io/FunSQL.jl/stable/guide/#Why-FunSQL? |url-status=live }}</ref><ref>{{Cite web |date=21 October 2022 |title=Using Julia with Oracle Databases |url=https://blogs.oracle.com/timesten/post/using-julia-with-oracle-database |access-date=8 November 2022 |archive-date=8 November 2022 |archive-url=https://web.archive.org/web/20221108125241/https://blogs.oracle.com/timesten/post/using-julia-with-oracle-database |url-status=live }}</ref>
===Separately-compiled executables option===
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